Xiaofeng Liao
- Computer Networks and Communications top 2%
- Statistical and Nonlinear Physics top 2%
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence top 10%
- Control and Systems Engineering top 10%
- Co-authors
- Tao DongAijuan WangJuebang YuChunguang LiChuandong LiRehan AshrafSaleem UllahAqeel ur Rehman
- Topics
- Neural Networks Stability and Synchronization (16 papers)Nonlinear Dynamics and Pattern Formation (9 papers)Chaos-based Image/Signal Encryption (7 papers)
In The Last Decade
Xiaofeng Liao
28 papers receiving 859 citations
Peers
Comparison fields: 5 of 63
- Computer Networks and Communications 488
- Statistical and Nonlinear Physics 312
- Computer Vision and Pattern Recognition 271
- Artificial Intelligence 154
- Control and Systems Engineering 135
Countries citing papers authored by Xiaofeng Liao
This map shows the geographic impact of Xiaofeng Liao's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Xiaofeng Liao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaofeng Liao more than expected).
Fields of papers citing papers by Xiaofeng Liao
This network shows the impact of papers produced by Xiaofeng Liao. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Xiaofeng Liao. The network helps show where Xiaofeng Liao may publish in the future.
Co-authorship network of co-authors of Xiaofeng Liao
This figure shows the co-authorship network connecting the top 25 collaborators of Xiaofeng Liao. A scholar is included among the top collaborators of Xiaofeng Liao based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Xiaofeng Liao. Xiaofeng Liao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 19 | |
| 2 | 10 | |
| 3 | 30 | |
| 4 | 146 | |
| 5 | 4 | |
| 6 | 27 | |
| 7 | 38 | |
| 8 | 11 | |
| 9 | 16 | |
| 10 | 132 | |
| 11 | 29 | |
| 12 | 4 | |
| 13 | 2 | |
| 14 | 1 | |
| 15 | 76 | |
| 16 | Chaos and Its Impulsive Control in Chua's Oscillator via Time-Delay Feedback | 2 |
| 17 | 76 | |
| 18 | 12 | |
| 19 | 132 | |
| 20 | 10 |
About Xiaofeng Liao
Xiaofeng Liao is a scholar working on Computer Networks and Communications, Statistical and Nonlinear Physics and Computer Vision and Pattern Recognition, having authored 29 papers that have together received 891 indexed citations. Recurring topics across this work include Neural Networks Stability and Synchronization (16 papers), Nonlinear Dynamics and Pattern Formation (9 papers) and Chaos-based Image/Signal Encryption (7 papers). The work is most often cited by research in Statistical and Nonlinear Physics (312 citations), Computer Networks and Communications (488 citations) and Computer Vision and Pattern Recognition (271 citations). Xiaofeng Liao has collaborated with scholars based in China, Australia and Hong Kong. Frequent co-authors include Tao Dong, Aijuan Wang, Juebang Yu, Chunguang Li, Chuandong Li, Rehan Ashraf, Saleem Ullah, Aqeel ur Rehman, Xingyou Zhang and Huaqing Li. Their work appears in journals such as Physics Letters A, Neurocomputing and Journal of the Franklin Institute.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.